International publications on measuring nanoparticles with the portable testo DiSCmini particle counter.

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1 Testo Book of Abstracts International publications on measuring nanoparticles with the portable testo DiSCmini particle counter.

2 testo DiSCmini Great insights into the world of the smallest particles Mobile nanoparticle measurement with testo DiSCmini elevates your measurement options to a new level. In the workplace, in road traffic, in heating tasks and even Our portable testo DiSCmini nanoparticle measuring in cleanrooms nanoparticles occur practically everywhere instrument now makes measuring easy, anywhere and and have a crucial influence on health, environmental at the press of a button. The compact instrument uses a protection and manufacturing success. Despite the great resolution of only 1 second to capture particle number, importance of the small particles, extensive measurements modal diameter and active surface area (LDSA). It is not were usually avoided due to the size and complexity of the affected by vibrations, can be operated in any position and measuring instruments. requires no operating media. 2

3 testo DiSCmini The testo DiSCmini expands your measurement options in medicine, occupational and environmental sciences and numerous other research fields. Among other things, it provides support for assessing personal exposure verifying health and safety measures monitoring the ambient air checking the capacity of other instruments The significance of a measuring instrument, by the way, is not only evident in the questions it answers but also in the people who use it. On the following pages, we have collated over 110 abstracts of scientific publications for you. Here you can not only learn how versatile the testo DiSCmini is but you will also find out that our compact nanoparticle counter has already developed into one of the most important standard measuring instruments. We hope you enjoy reading! 3

4 Overview 1. Personal exposure 2. Health and safety 3. Monitoring of the ambient air 4. Instrument capacity 4

5 1. Personal Exposition Abstract 1.01 Page 06 Aerosol characterization in real life and a methodology for human exposure studies in controlled chamber settings Abstract 1.02 Page 07 Analysis of time series of particle size distributions in nano exposure assessment Abstract 1.03 Page 08 Assessment of personal exposure to particulate air pollution during commuting in European cities recommendtions and policy implications Abstract 1.04 Page 09 Association between traffic-related air pollution in schools and cognitive development in primary school children: A prospective cohort Study Abstract 1.05 Page 10 Child exposure to indoor and outdoor air pollutants in schools in Barcelona, Spain Abstract 1.06 Page 11 Contribution of indoor-generated particles to residential exposure Abstract 1.07 Page 12 Differences in indoor versus outdoor concentrations ofultrafine particles, PM 2.5, PM absorbance and NO 2 in Swiss homes Abstract 1.08 Page 13 Effects of flame made zinc oxide particles in human lung cells - a comparison of aerosol and suspension exposures Abstract 1.09 Page 14 Effects of long-term exposure to air pollution on natural-cause mortality: an analysis of 22 European cohorts within the multicentre ESCAPE project Abstract 1.10 Page 15 Evaluation of decision rules in a tiered assessment of inhalation exposure to nanomaterials Abstract 1.11 Page 16 Exposure limits for nanoparticles: report of an international workshop on nano reference values Abstract 1.12 Page 17 Exposure to ultrafine particles in hospitality venues with partial smoking bans Abstract 1.13 Page 18 Exposure to ultrafine particles and black carbon in diesel-powered commuter trains Abstract 1.14 Page 19 Field comparison of instruments for exposure assessment of airborne ultrafine particles and particulate matter Abstract 1.15 Page 20 High-throughput and label-free single nanoparticle sizing based on time-resolved on-chip microscopy Abstract 1.16 Page 21 Increase in oxidative stress levels following welding fume inhalation: a controlled human exposure study Abstract 1.17 Page 22 Indoor air quality in naturally ventilated Italian classrooms Abstract 1.18 Page 23 Metrological performances of a diffusion charger particle counter for personal monitoring Abstract 1.19 Page 24 Multi-metric measurement of personal exposure to ultrafine particles in selected urban microenvironments. Abstract 1.20 Page 26 New methods for personal exposure monitoring for airborne particles Abstract 1.21 Page 27 Outdoor infiltration and indoor contribution of UFP and BC, OC, secondary inorganic ions and metals in PM 2.5 in schools Abstract 1.22 Page 28 Outdoor ultrafine particle concentrations in front of fast food restaurants Abstract 1.23 Page 29 Quantifying commuter exposures to volatile organic compounds Abstract 1.24 Page 32 Respiratory effects of fine and ultrafine particles from indoor sources a randomized sham-controlled exposure study of healthy volunteers Abstract 1.25 Page 33 Surface area is the biologically most effective dose metric for acute nanoparticle toxicity in the lung Abstract 1.26 Page 34 Titanium dioxide nanoparticles: occupational exposure assessment in the photocatalytic paving production Abstract 1.27 Page 35 Ultrafine and nanoparticle formation and emission mechanisms during laser processing of ceramic materials Abstract 1.28 Page 36 Validation of novel sensors to assess human exposures to airborne pollutants Abstract 1.29 Page 38 Workplace exposure to nanoparticles 5

6 Abstract

7 Abstract Journal of Aerosol Science 81 (2015) Contents lists available at ScienceDirect Journal of Aerosol Science journal homepage: Analysis of time series of particle size distributions in nano exposure assessment Rinke H. Klein Entink n, Cindy Bekker, Wouter F. Fransman, Derk H. Brouwer Institute for Applied Scientific Research (TNO), Zeist, The Netherlands article info Article history: Received 22 September 2014 Received in revised form 18 November 2014 Accepted 26 November 2014 Available online 10 December 2014 Keywords: Time series Particle size distributions Statistical modeling Nano Would you like to read the other pages of our Book of Abstracts as well and learn how scientists across the abstract world use the testo DiSCmini nanoparticle measuring instrument in over 110 studies? Then please register here. Real-time exposure measurements to nano-sized particles may result in large amounts of time series data on particle size and total number concentration. Analysis of the particle size distribution have thus far been limited to either graphical analysis of the distribution over time or an evaluation of the mode over time. For large time series data, graphical analysis of distributions is complicated and an assessment of the mode ignores the important aspect of the variance in particle size. A statistical method of analysis is proposed that overcomes those problems, based on a multilevel modeling approach and assuming a lognormal model for the particle size distribution. Two empirical examples illustrate the advantages of the proposed model, showing that useful summaries and inferences can be obtained, even for large data sets. The model thus provides a tool for practitioners to deal with large amounts of particle size distribution data obtained from real-time nano measurement devices. & 2014 Elsevier Ltd. All rights reserved. After registering, you will receive an with a link for downloading the complete Book of Abstracts. 1. Introduction Because of the increasing number of workers involved with nanotechnology and the potential health effects of working with these nanomaterials, assessment of the exposure of workers to (manufactured) nano particles or more specifically nanoobjects and their agglomerates and aggregates (NOAA), (ISO 2012) at the workplace receives considerable attention. To locate sources of emission and to characterize different work situations in order to gain knowledge on exposure and how to reduce l exposure levels, workplace aerosol measurements are performed. Because the size and associated surface area of the particles in the (workroom) air is one of the most important parameters for studying manufactured nano particles with respect to potential risk, most sampling methods for measuring nano-sized particles focus on both particle number concentration and particle size distribution (PSD) using real-time size, resolved devices, e.g. Scanning Mobility Particle Sizer (SMPS), Electrical Low Pressure Impactor (ELPI), Aerodynamic Particle Sizer (APS), etc.) rather than on the total particle number concentration in a certain size range alone (e.g. optical counters like the Condensation Particle Counter (CPC), and diffusion charging based devices like DiscMini, Nanotracer, etc.). However, little attention has been paid on how to (statistically) analyze and report these measurement results. Both particle number concentration and PSD have been studied using graphical methods (Brouwer et al., 2004; Demou et al., 2008; Evans et al., 2010; Bekker et al., 2014). Although the authors showed that useful information could be retrieved, graphical analysis is limited to making qualitative inferences. Quantitative analyses have often been limited to averages or, n Correspondence to: TNO, P.O. Box 360, 3700 AJ, Zeist, The Netherlands. Tel.: þ address: Rinke.kleinentink@tno.nl (R.H. Klein Entink) /& 2014 Elsevier Ltd. All rights reserved. 7

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